Job Description
We are on a mission to architect the technological foundation for the year 2026. At OmniFuture Labs, we are building the next generation of artificial intelligence and quantum computing systems that will redefine human potential. We are seeking a visionary Senior AI & Quantum Systems Engineer to lead our core infrastructure team.
In this role, you will bridge the gap between theoretical quantum algorithms and practical, scalable AI architectures. You won't just be building software; you will be defining the standards for how machines think, learn, and interact in a post-silicon world.
Why Join Us?
- Work on future-ready technologies that are currently reshaping the industry.
- Competitive equity package and a salary commensurate with top-tier talent.
- Flexible remote-first culture with state-of-the-art equipment.
- Direct impact on the roadmap that defines the 2026 landscape.
Responsibilities
- Architect Next-Gen AI Solutions: Design and implement scalable neural network architectures optimized for quantum processors and heterogeneous computing environments.
- Quantum Algorithm Development: Translate complex mathematical models into efficient quantum circuits and classical control software.
- System Optimization: Enhance model inference speed and reduce latency in distributed AI systems to meet 2026 performance benchmarks.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and rigorous technical excellence.
- Research & Development: Stay ahead of emerging trends in AI, quantum entanglement, and edge computing to ensure our stack remains cutting-edge.
- Collaboration: Partner with cross-functional teams including hardware engineers and product managers to deliver robust, production-grade solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI/Quantum Computing.
- Experience: Minimum 5+ years of professional experience in software engineering, with at least 2 years specifically in AI/ML or high-performance computing.
- Technical Skills: Proficiency in Python, C++, and Rust. Hands-on experience with quantum computing frameworks (Qiskit, Cirq) and classical ML frameworks (PyTorch, TensorFlow).
- Architecture: Deep understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization technologies (Docker, Kubernetes).
- Problem Solving: Exceptional ability to solve complex, open-ended problems in high-pressure environments.
- Future-Forward Mindset: Demonstrated interest in emerging technologies and the ability to prototype concepts rapidly.